6.3000
Signal Processing
Fundamentals of signal processing, focusing on the use of Fourier methods to analyze and process signals such as sounds and images. Topics include Fourier series, Fourier transforms, the Discrete Fourier Transform, sampling, convolution, deconvolution, filtering, noise reduction, and compression. Applications draw broadly from areas of contemporary interest with emphasis on both analysis and design.
Prerequisites & course information
Subject meets with 21M.584 Prereq: 6.100A U (Fall, Spring) 4-0-8 units. REST
Sources
- Course catalogue ↗2026–2027